VS2N-MongoDB-schemas.md

@@ -109,7 +109,7 @@ The second one contains optional information, which is collected if there was a
 <div align="center">Example</div>
 <br>
 
-## 2- Spikes activity schemas:
+## 2- Spikes activity schema:
 **Collection name** : spikes<br><br>
 **Collection content** :<br>
 In this collection, we collect every spike activity in the network during training. The collection contains information about:
@@ -144,7 +144,7 @@ In this collection, we collect every spike activity in the network during traini
 <div align="center">Example</div>
 <br>
 
-## 3- Neurons membrane potential schemas:
+## 3- Neurons membrane potential schema:
 **Collection name** : potential<br><br>
 **Collection content** :<br>
 In this collection, we collect every neuron membrane potential activity in the network during training. The collection contains information about:
@@ -164,7 +164,7 @@ In this collection, we collect every neuron membrane potential activity in the n
   }
 }
 ```
-<div align="center">Neurons membrane potential schemas</div>
+<div align="center">Neurons membrane potential schema</div>
 <br>
 
 
@@ -180,7 +180,7 @@ In this collection, we collect every neuron membrane potential activity in the n
 <div align="center">Example</div>
 <br>
 
-## 4- Synapses weight activity schemas:
+## 4- Synapses weight activity schema:
 **Collection name** : synapseWeight<br><br>
 **Collection content** :<br>
 In this collection, we collect every synapse weight activity in the network during training. The collection contains information about:
@@ -221,7 +221,7 @@ In this collection, we collect every synapse weight activity in the network duri
 <div align="center">Example</div>
 <br>
 
-## 5- Labels activity schemas (optional):
+## 5- Labels activity schema (optional):
 **Collection name** : labels<br><br>
 **Collection content** :<br>
 In this collection, we collect every input label in the network during training (if it exists). The collection contains information about:
@@ -238,7 +238,7 @@ In this collection, we collect every input label in the network during training
     "G" : { "bsonType": "int" },        // value of total inputs already introduced
 }
 ```
-<div align="center">Labels activity schemas</div>
+<div align="center">Labels activity schema</div>
 <br>
 
 ```json